Results 41 to 50 of about 2,301 (212)
PHISHING URL DETECTION WEBSITE
Phishing websites are one of the types of internet security issues that target human vulnerabilities rather than software flaws. It's the technique of luring online users in order to get sensitive information like usernames and passwords. We present an intelligent technique for detecting phishing websites in this research.
Mahalakshmi BR +3 more
openaire +1 more source
Overview of the paper organization, illustrating the hierarchical structure of cybersecurity domains in ICS and CPS, including attack analysis, security approaches, offensive tactics, career guidance, and concluding discussions. ABSTRACT The convergence of operational technology (OT) with IP‐based information systems has exposed industrial control ...
M. A. Khalifa +2 more
wiley +1 more source
Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques
The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García +4 more
wiley +1 more source
Fighting internet fraud: anti-phishing effectiveness for phishing websites detection [PDF]
Recently, the Internet has become a very important medium of communication. Many people go online and conduct a wide range of business. They can sell and buy goods, perform different banking activities and even participate in political and social ...
Alnajim, Abdullah M.
core
Phishing Website Detection Using Deep Learning Models
This research addresses the imperative need for advanced detection mechanisms for the identification of phishing websites. For this purpose, we explore state-of-the-art machine learning, ensemble learning, and deep learning algorithms.
Ume Zara +5 more
doaj +1 more source
Cutting-Edge Phishing Detection Using Novel Features and Hybrid Machine Learning Techniques [PDF]
Classification Information Mining (DM) strategies are highly effective tools for identifying and detecting e-banking phishing websites. This study introduces a novel approach to address the challenges and complexities associated with predicting and ...
Jin Zhang
doaj +1 more source
Abstract This research examined the relationship between digital competency and perceived organizational support among Nova Scotia public servants and MPA students. Findings revealed a non‐linear developmental progression where reliance on external validation systematically diminished as expertise matures.
Warwick Young, Kristian Suen
wiley +1 more source
ABSTRACT According to the Federal Trade Commission, consumers lost $12.8 billion to fraud in 2024, with actual losses estimated to be as high as $196 billion. Research on financial fraud knowledge is scant, limiting development of effective protection tools.
Duygu Başaran Şahin +6 more
wiley +1 more source
Review of Various Methods for Phishing Detection
In this modern world where the technology has spread rapidly and the inception of cell phones, computers and also the rate at which internet is being used has increased in all fields both commercial, financial and also individuals.
R. Sakunthala jenni, S. Shankar
doaj +1 more source
Abstract Transfusion medicine generates enormous volumes of data across the vein‐to‐vein continuum, spanning donor characteristics, laboratory testing, component manufacturing, logistics and recipient outcomes. The emergence of big data infrastructures, coupled with artificial intelligence (AI), offers a transformative opportunity to harness this ...
Sheharyar Raza +6 more
wiley +1 more source

